Tapani Raiko - RankMe

69 papers A* 3A 4B 9C 1Misc 2Journal 23Unranked 26

Year	Rank	Type	Title / Venue / Authors
2016	J	`jnl`	A Character-Word Compositional Neural Language Model for Finnish. CoRR Matti Lankinen, Hannes Heikinheimo, Pyry Takala, Tapani Raiko, Juha Karhunen
2016	A*	`conf`	DopeLearning: A Computational Approach to Rap Lyrics Generation. KDD Eric Malmi, Pyry Takala, Hannu Toivonen, Tapani Raiko, Aristides Gionis
2016	J	`jnl`	How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks. CoRR Casper Kaae Sønderby, Tapani Raiko, Lars Maaløe, Søren Kaae Sønderby, Ole Winther
2016	—	`conf`	Ladder Variational Autoencoders. NIPS Casper Kaae Sønderby, Tapani Raiko, Lars Maaløe, Søren Kaae Sønderby, Ole Winther
2016	A*	`conf`	Scalable Gradient-Based Tuning of Continuous Regularization Hyperparameters. ICML Jelena Luketina, Tapani Raiko, Mathias Berglund, Klaus Greff
2016	J	`jnl`	Semi-Supervised Domain Adaptation for Weakly Labeled Semantic Video Object Segmentation. CoRR Huiling Wang, Tapani Raiko, Lasse Lensu, Tinghuai Wang, Juha Karhunen
2016	—	`conf`	Semi-supervised Domain Adaptation for Weakly Labeled Semantic Video Object Segmentation. ACCV (1) Huiling Wang, Tapani Raiko, Lasse Lensu, Tinghuai Wang, Juha Karhunen
2015	J	`jnl`	Bidirectional Recurrent Neural Networks as Generative Models - Reconstructing Gaps in Time Series. CoRR Mathias Berglund, Tapani Raiko, Mikko Honkala, Leo Kärkkäinen, Akos Vetek, Juha Karhunen
2015	—	`conf`	Bidirectional Recurrent Neural Networks as Generative Models. NIPS Mathias Berglund, Tapani Raiko, Mikko Honkala, Leo Kärkkäinen, Akos Vetek, Juha Karhunen
2015	—	`conf`	Denoising autoencoder with modulated lateral connections learns invariant representations of natural images. ICLR (Workshop) Antti Rasmus, Tapani Raiko, Harri Valpola
2015	J	`jnl`	DopeLearning: A Computational Approach to Rap Lyrics Generation. CoRR Eric Malmi, Pyry Takala, Hannu Toivonen, Tapani Raiko, Aristides Gionis
2015	J	`jnl`	Lateral Connections in Denoising Autoencoders Support Supervised Learning. CoRR Antti Rasmus, Harri Valpola, Tapani Raiko
2015	J	`jnl`	Measuring the usefulness of hidden units in Boltzmann machines with mutual information. Neural Networks Mathias Berglund, Tapani Raiko, Kyunghyun Cho
2015	J	`jnl`	Scalable Gradient-Based Tuning of Continuous Regularization Hyperparameters. CoRR Jelena Luketina, Mathias Berglund, Klaus Greff, Tapani Raiko
2015	J	`jnl`	Self-organization and missing values in SOM and GTM. Neurocomputing Tommi Vatanen, Maria Osmala, Tapani Raiko, Krista Lagus, Marko Sysi-Aho, Matej Oresic, Timo Honkela, Harri Lähdesmäki
2015	J	`jnl`	Semi-Supervised Learning with Ladder Network. CoRR Antti Rasmus, Harri Valpola, Mikko Honkala, Mathias Berglund, Tapani Raiko
2015	—	`conf`	Semi-supervised Learning with Ladder Networks. NIPS Antti Rasmus, Mathias Berglund, Mikko Honkala, Harri Valpola, Tapani Raiko
2015	—	`conf`	Techniques for Learning Binary Stochastic Feedforward Neural Networks. ICLR (Poster) Tapani Raiko, Mathias Berglund, Guillaume Alain, Laurent Dinh
2015	J	`jnl`	Two-layer contractive encodings for learning stable nonlinear features. Neural Networks Hannes Schulz, Kyunghyun Cho, Tapani Raiko, Sven Behnke
2014	J	`jnl`	Iterative Neural Autoregressive Distribution Estimator (NADE-k). CoRR Tapani Raiko, Li Yao, Kyunghyun Cho, Yoshua Bengio
2014	—	`conf`	Iterative Neural Autoregressive Distribution Estimator NADE-k. NIPS Tapani Raiko, Li Yao, Kyunghyun Cho, Yoshua Bengio
2014	—	`conf`	Linear State-Space Model with Time-Varying Dynamics. ECML/PKDD (2) Jaakko Luttinen, Tapani Raiko, Alexander Ilin
2014	—	`conf`	Stochastic Gradient Estimate Variance in Contrastive Divergence and Persistent Contrastive Divergence. ICLR (Workshop Poster) Mathias Berglund, Tapani Raiko
2013	C	`conf`	A Two-Stage Pretraining Algorithm for Deep Boltzmann Machines. ICANN Kyunghyun Cho, Tapani Raiko, Alexander Ilin, Juha Karhunen
2013	J	`jnl`	Enhanced Gradient for Training Restricted Boltzmann Machines. Neural Comput. Kyunghyun Cho, Tapani Raiko, Alexander Ilin
2013	B	`conf`	Gaussian-Bernoulli deep Boltzmann machine. IJCNN Kyunghyun Cho, Tapani Raiko, Alexander Ilin
2013	Misc	`conf`	Gaussian-Bernoulli restricted Boltzmann machines and automatic feature extraction for noise robust missing data mask estimation. ICASSP Sami Keronen, Kyunghyun Cho, Tapani Raiko, Alexander Ilin, Kalle J. Palomäki
2013	—	`conf`	Measuring the Usefulness of Hidden Units in Boltzmann Machines with Mutual Information. ICONIP (1) Mathias Berglund, Tapani Raiko, Kyunghyun Cho
2013	—	`conf`	Pushing Stochastic Gradient towards Second-Order Methods - Backpropagation Learning with Transformations in Nonlinearities. ICONIP (1) Tommi Vatanen, Tapani Raiko, Harri Valpola, Yann LeCun
2013	—	`conf`	Pushing Stochastic Gradient towards Second-Order Methods -- Backpropagation Learning with Transformations in Nonlinearities ICLR (Workshop Poster) Tommi Vatanen, Tapani Raiko, Harri Valpola, Yann LeCun
2013	—	`conf`	Two-Layer Contractive Encodings with Shortcuts for Semi-supervised Learning. ICONIP (1) Hannes Schulz, Kyunghyun Cho, Tapani Raiko, Sven Behnke
2013	B	`conf`	Variational Bayesian PCA versus k-NN on a Very Sparse Reddit Voting Dataset. IDA Jussa Klapuri, Ilari T. Nieminen, Tapani Raiko, Krista Lagus
2012	J	`jnl`	'Say EM' for Selecting Probabilistic Models for Logical Sequences CoRR Kristian Kersting, Tapani Raiko
2012	J	`jnl`	Bayes Blocks: An Implementation of the Variational Bayesian Building Blocks Framework CoRR Markus Harva, Tapani Raiko, Antti Honkela, Harri Valpola, Juha Karhunen
2012	—	`conf`	Controlling Self-Organization and Handling Missing Values in SOM and GTM. WSOM Tommi Vatanen, Ilari T. Nieminen, Timo Honkela, Tapani Raiko, Krista Lagus
2012	A	`conf`	Deep Learning Made Easier by Linear Transformations in Perceptrons. AISTATS Tapani Raiko, Harri Valpola, Yann LeCun
2012	—	`conf`	Gated Boltzmann Machine in Texture Modeling. ICANN (2) Tele Hao, Tapani Raiko, Alexander Ilin, Juha Karhunen
2012	—	`conf`	Hybrid Bilinear and Trilinear Models for Exploratory Analysis of Three-Way Poisson Counts. ICANN (2) Juha Raitio, Tapani Raiko, Timo Honkela
2012	—	`conf`	Learning Deep Belief Networks from Non-stationary Streams. ICANN (2) Roberto Calandra, Tapani Raiko, Marc Peter Deisenroth, Federico Montesino-Pouzols
2012	J	`jnl`	Machine learning for signal processing 2010. Neurocomputing Jaakko Peltonen, Tapani Raiko, Samuel Kaski
2012	B	`conf`	Semi-supervised detection of collective anomalies with an application in high energy particle physics. IJCNN Tommi Vatanen, Mikael Kuusela, Eric Malmi, Tapani Raiko, Timo Aaltonen, Yoshikazu Nagai
2012	—	`conf`	Tikhonov-Type Regularization for Restricted Boltzmann Machines. ICANN (1) Kyunghyun Cho, Alexander Ilin, Tapani Raiko
2012	A	`conf`	Towards Generalizing the Success of Monte-Carlo Tree Search beyond the Game of Go. ECAI António Gusmão, Tapani Raiko
2011	A*	`conf`	Enhanced Gradient and Adaptive Learning Rate for Training Restricted Boltzmann Machines. ICML Kyunghyun Cho, Tapani Raiko, Alexander Ilin
2011	—	`conf`	Improved Learning of Gaussian-Bernoulli Restricted Boltzmann Machines. ICANN (1) Kyunghyun Cho, Alexander Ilin, Tapani Raiko
2011	J	`jnl`	Logical Hidden Markov Models CoRR Luc De Raedt, Kristian Kersting, Tapani Raiko
2011	J	`jnl`	Missing-Feature Reconstruction With a Bounded Nonlinear State-Space Model. IEEE Signal Process. Lett. Ulpu Remes, Kalle J. Palomäki, Tapani Raiko, Antti Honkela, Mikko Kurimo
2010	J	`jnl`	Approximate Riemannian Conjugate Gradient Learning for Fixed-Form Variational Bayes. J. Mach. Learn. Res. Antti Honkela, Tapani Raiko, Mikael Kuusela, Matti Tornio, Juha Karhunen
2010	—	`conf`	Document classification utilising ontologies and relations between documents. MLG@KDD Katariina Nyberg, Tapani Raiko, Teemu Tiinanen, Eero Hyvönen
2010	B	`conf`	Extending Self-Organizing Maps with uncertainty information of probabilistic PCA. IJCNN Dusan Sovilj, Tapani Raiko, Erkki Oja
2010	B	`conf`	Parallel tempering is efficient for learning restricted Boltzmann machines. IJCNN Kyunghyun Cho, Tapani Raiko, Alexander Ilin
2010	J	`jnl`	Practical Approaches to Principal Component Analysis in the Presence of Missing Values. J. Mach. Learn. Res. Alexander Ilin, Tapani Raiko
2009	B	`conf`	A gradient-based algorithm competitive with variational Bayesian EM for mixture of Gaussians. IJCNN Mikael Kuusela, Tapani Raiko, Antti Honkela, Juha Karhunen
2009	B	`conf`	Transformations for variational factor analysis to speed up learning. ESANN Jaakko Luttinen, Alexander Ilin, Tapani Raiko
2009	J	`jnl`	Variational Bayesian learning of nonlinear hidden state-space models for model predictive control. Neurocomputing Tapani Raiko, Matti Tornio
2007	J	`jnl`	Building Blocks for Variational Bayesian Learning of Latent Variable Models. J. Mach. Learn. Res. Tapani Raiko, Harri Valpola, Markus Harva, Juha Karhunen
2007	—	`conf`	Natural Conjugate Gradient in Variational Inference. ICONIP (2) Antti Honkela, Matti Tornio, Tapani Raiko, Juha Karhunen
2007	—	`conf`	Principal Component Analysis for Large Scale Problems with Lots of Missing Values. ECML Tapani Raiko, Alexander Ilin, Juha Karhunen
2007	—	`conf`	Principal Component Analysis for Sparse High-Dimensional Data. ICONIP (1) Tapani Raiko, Alexander Ilin, Juha Karhunen
2006	—	`—`	Bayesian inference in nonlinear and relational latent variable models ; Bayesiläinen päättely epälineaarisissa ja rakenteisissa piilomuuttujamalleissa. Tapani Raiko
2006	J	`jnl`	Logical Hidden Markov Models. J. Artif. Intell. Res. Kristian Kersting, Luc De Raedt, Tapani Raiko
2006	—	`conf`	State Inference in Variational Bayesian Nonlinear State-Space Models. ICA Tapani Raiko, Matti Tornio, Antti Honkela, Juha Karhunen
2005	A	`conf`	"Say EM" for Selecting Probabilistic Models for Logical Sequences. UAI Kristian Kersting, Tapani Raiko
2005	A	`conf`	Bayes Blocks: An Implementation of the Variational Bayesian Building Blocks Framework. UAI Markus Harva, Tapani Raiko, Antti Honkela, Harri Valpola, Juha Karhunen
2005	B	`conf`	Learning nonlinear state-space models for control. IJCNN Tapani Raiko, Matti Tornio
2005	—	`conf`	Nonlinear Relational Markov Networks with an Application to the Game of Go. ICANN (2) Tapani Raiko
2004	B	`conf`	Partially observed values. IJCNN Tapani Raiko
2003	Misc	`conf`	Towards Discovering Structural Signatures of Protein Folds Based on Logical Hidden Markov Models. Pacific Symposium on Biocomputing Kristian Kersting, Tapani Raiko, Stefan Kramer, Luc De Raedt
2002	—	`conf`	Logical Hidden Markov Models (Extendes abstract). Probabilistic Graphical Models Kristian Kersting, Tapani Raiko, Luc De Raedt